The present invention may include designating one or more potentially dangerous conditions, regions, or objects as risk factors within a venue, tracking the location of the user's mobile devices in relation to the risk factors, and monitoring the risk of damage posed to the mobile devices by the risk factors; if the risk of damage exceeds a threshold, alerting the user to the presence of the risk factor and the potential danger to the mobile device. The present invention may further involve, responsive to the user's actions and the risk of potential device damage, performing one or more precautionary actions to reduce or prevent data loss or damage to the mobile device.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for operating one or more devices to prevent potential mobile device damage, the method comprising: determining whether a mobile device is on a person of a user; operating a device to alert a user based on a potential risk of damage of the mobile device exceeding a threshold, wherein the threshold is based on historical trends for the mobile device and one or more risk factors, and wherein the potential risk of damage is based on a plurality of elements comprising the determining, historical data, and a location or movement of the mobile device relative to the one or more risk factors within a venue, and wherein the risk factors are dynamically updated based on changing conditions.
2. The method of claim 1 , further comprising: responsive to a user action status and the potential risk of damage, operating one or more devices to perform one or more precautionary actions.
This invention relates to a system for monitoring and mitigating risks in an environment, particularly in scenarios where user actions may pose potential hazards. The system detects and assesses the likelihood of damage or injury based on real-time data, such as user behavior, environmental conditions, or device status. When a potential risk is identified, the system automatically triggers precautionary measures to prevent or reduce harm. These measures may include activating safety devices, adjusting operational parameters, or alerting users or administrators. The system dynamically responds to changing conditions, ensuring proactive risk management. The invention is applicable in industrial settings, smart homes, autonomous systems, or any environment where user actions could lead to unintended consequences. By integrating risk assessment with automated mitigation, the system enhances safety and operational reliability.
3. The method of claim 2 , wherein the one or more precautionary actions comprise one or more actions selected from a list consisting of: copying data from the mobile device, increasing an intensity of the alert, alerting a second user, operating one or more additional devices to produce the alert, shutting down the mobile device, and shutting down one or more devices that affect the risk of damage.
A system and method for enhancing safety in mobile device operations involves detecting hazardous conditions and triggering precautionary actions to mitigate risks. The technology addresses scenarios where a mobile device may pose a danger, such as overheating, battery failure, or environmental hazards, by automatically initiating protective measures. These measures include copying critical data from the device to prevent loss, intensifying alert signals to ensure user awareness, notifying a second user (e.g., a supervisor or emergency contact), activating additional devices to amplify alerts, and shutting down the mobile device or related systems to prevent further damage. The system dynamically assesses risk factors and selects appropriate actions based on the severity of the detected condition. This approach ensures proactive risk management, reducing the likelihood of accidents or data loss in high-risk situations. The method integrates with existing mobile device functionalities and external systems to provide a comprehensive safety solution.
4. The method of claim 1 , wherein determining whether the mobile device is on the person of the user is based on a location of the mobile device relative to a second mobile device.
A system and method for determining whether a mobile device is on the person of a user by analyzing its location relative to a second mobile device. The technology addresses the challenge of accurately detecting device proximity to a user, which is critical for applications such as security, authentication, or personalized services. The method involves tracking the spatial relationship between the primary mobile device and a secondary mobile device, such as another smartphone or wearable, to infer whether the primary device is being carried by the user. This approach leverages proximity sensing, signal strength analysis, or other location-based techniques to establish a connection between the devices. By comparing their positions, the system can determine if the primary device is within a predefined range of the secondary device, indicating it is likely on the user. This solution improves upon traditional methods that rely solely on motion sensors or user input, offering a more reliable and automated way to confirm device proximity. The technique is particularly useful in scenarios where device security or context-aware services depend on knowing whether the device is physically with the user.
5. The method of claim 1 , wherein a factor of the potential risk of damage is a plurality of fitness information of a user.
A system and method for assessing and mitigating potential damage to a device or system based on user fitness information. The invention addresses the problem of damage caused by user behavior, particularly in scenarios where physical exertion, fatigue, or other fitness-related factors may increase the likelihood of accidents or misuse. The method involves collecting and analyzing multiple types of fitness data from a user, such as heart rate, muscle activity, fatigue levels, or other physiological metrics, to determine a risk factor for potential damage. This risk factor is then used to adjust device operation, provide warnings, or trigger preventive measures to reduce the likelihood of damage. For example, if a user's fitness data indicates high fatigue, the system may limit certain functions or alert the user to take a break. The fitness data may be obtained from wearable sensors, biometric devices, or other monitoring systems. The method ensures that device operation adapts dynamically to the user's physical state, enhancing safety and reducing damage risks.
6. The method of claim 1 , wherein a factor of the potential risk of damage is one or more physical characteristics of the mobile device.
A system and method for assessing and mitigating potential damage to a mobile device during operation. The invention addresses the problem of unintended damage to mobile devices caused by environmental factors, user behavior, or device conditions, which can lead to hardware failure, data loss, or safety hazards. The system evaluates multiple factors to determine the risk of damage, including physical characteristics of the mobile device such as temperature, humidity exposure, impact resistance, material composition, and structural integrity. By analyzing these factors, the system can predict potential damage scenarios and implement preventive measures, such as adjusting device performance, issuing warnings, or triggering protective actions. The method may also incorporate real-time monitoring of environmental conditions and user interactions to refine risk assessments. The goal is to enhance device longevity, reduce repair costs, and improve user safety by proactively managing risk factors. The invention is applicable to smartphones, tablets, wearables, and other portable electronic devices.
7. The method of claim 1 , wherein an intensity of the alert is based on the potential risk of damage.
A system and method for generating alerts in a vehicle monitoring system detects potential risks of damage to the vehicle and adjusts the intensity of alerts based on the severity of the detected risks. The system monitors various vehicle parameters, such as speed, proximity to obstacles, or environmental conditions, to identify situations that could lead to damage. When a potential risk is detected, the system calculates a risk level, which determines the intensity of the alert. Higher-risk situations trigger more urgent alerts, such as louder sounds, flashing lights, or haptic feedback, while lower-risk situations may produce subtler notifications. The system may also prioritize alerts based on the type of risk, ensuring that critical threats receive immediate attention. By dynamically adjusting alert intensity, the system enhances driver awareness and reduces the likelihood of damage to the vehicle. The method ensures that alerts are both noticeable and appropriately scaled to the severity of the situation, improving safety and responsiveness in vehicle operations.
8. A computer system for operating one or more devices to prevent potential mobile device damage, the computer system comprising: one or more processors, one or more computer-readable memories, one or more non-transitory computer-readable tangible storage medium, one or more sensors, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: determining whether a mobile device is on a person of a user; operating a device to alert a user based on a risk of damage of the mobile device exceeding a threshold, wherein the threshold is based on historical trends for the mobile device and one or more risk factors, and wherein the potential risk of damage is based on a plurality of factors comprising the determining, historical data, and a location or movement of the mobile device relative to the one or more risk factors within a venue, and wherein the risk factors are dynamically updated based on changing conditions.
This invention relates to a computer system designed to prevent potential damage to mobile devices by monitoring and assessing risk factors in real-time. The system uses sensors and historical data to determine whether a mobile device is being carried by a user and evaluates the risk of damage based on multiple factors, including the device's location, movement, and environmental conditions. Risk factors are dynamically updated to reflect changing conditions, such as environmental hazards, user behavior, or venue-specific risks. If the assessed risk exceeds a predefined threshold—determined from historical trends and risk factors—the system triggers an alert to the user via connected devices. The system aims to proactively mitigate damage by providing timely warnings, leveraging real-time data and adaptive risk assessment to enhance mobile device safety. The invention integrates hardware components like processors, memory, and sensors with software instructions to execute the risk evaluation and alert process, ensuring continuous monitoring and adaptive responses to potential threats.
9. The computer system of claim 8 , further comprising: responsive to a user action status and the potential risk of damage, operating one or more devices to perform one or more precautionary actions.
A computer system monitors user actions and assesses potential risks of damage to equipment or systems. The system evaluates user behavior, such as operating conditions or environmental factors, to determine if a hazardous situation exists. When a risk is detected, the system automatically triggers precautionary measures. These measures may include adjusting device settings, shutting down equipment, or activating safety protocols to prevent damage. The system ensures proactive protection by continuously analyzing user actions and environmental data, then responding with appropriate safeguards. This approach minimizes the likelihood of accidents or failures by intervening before harm occurs. The system integrates with various devices and sensors to gather real-time data, enabling dynamic risk assessment and timely preventive actions. By automating safety responses, the system enhances operational reliability and reduces the need for manual intervention. The technology is applicable in industrial, automotive, or consumer electronics environments where user actions could lead to equipment damage or safety hazards. The system's adaptive response mechanism ensures that precautionary actions are tailored to the specific risk detected, improving overall system resilience.
10. The computer system of claim 9 , wherein the one or more precautionary actions comprise one or more actions selected from a list consisting of: copying data from the mobile device, increasing an intensity of the alert, alerting a second user, operating one or more additional devices to produce the alert, shutting down the mobile device, and shutting down one or more devices that affect the risk of damage.
A computer system monitors a mobile device to detect potential risks of damage, such as environmental hazards or unauthorized access. The system analyzes sensor data from the mobile device, including location, motion, and environmental conditions, to identify situations that may lead to damage. When a risk is detected, the system triggers precautionary actions to mitigate the risk. These actions include copying data from the mobile device to prevent loss, increasing the intensity of an alert to ensure visibility, notifying a second user to take further action, activating additional devices to enhance the alert, shutting down the mobile device to prevent further exposure, or shutting down other devices that may contribute to the risk. The system dynamically adjusts the response based on the severity and context of the detected risk, ensuring proactive protection of the mobile device and associated data. The solution is particularly useful in environments where mobile devices are exposed to unpredictable conditions or security threats.
11. The computer system of claim 8 , wherein determining whether the mobile device is on the person of the user is based on a location of the mobile device relative to a second mobile device.
This invention relates to a computer system for determining whether a mobile device is on the person of a user by analyzing its location relative to a second mobile device. The system addresses the challenge of accurately detecting user proximity to a mobile device, which is critical for security, authentication, and personalized services. The computer system includes a processor and memory storing instructions that, when executed, perform operations such as receiving sensor data from the mobile device, analyzing the data to determine the device's location, and comparing it to the location of a second mobile device. The system may use Bluetooth, Wi-Fi, or other wireless signals to assess proximity. If the mobile device is within a predefined distance of the second device, the system concludes that the user is likely carrying the mobile device. This approach improves security by reducing false positives in proximity-based authentication and enhances user experience by ensuring accurate device tracking. The system may also integrate additional sensors, such as accelerometers or gyroscopes, to refine location accuracy. The invention is particularly useful in scenarios where multiple devices are used, such as in smart home environments or enterprise settings, where distinguishing between devices on a person and those left unattended is essential.
12. The computer system of claim 8 , wherein a factor of the potential risk of damage is a plurality of fitness information of a user.
A computer system monitors and assesses potential risks of damage to a user, incorporating fitness-related data as a key factor in the risk evaluation. The system collects and analyzes multiple types of fitness information, such as heart rate, activity levels, sleep patterns, and physiological metrics, to determine the user's physical condition and susceptibility to harm. By integrating this fitness data with other risk factors, the system provides a comprehensive risk assessment tailored to the user's current state. The system may also adjust risk thresholds or trigger alerts based on deviations from baseline fitness metrics, ensuring proactive intervention when necessary. This approach enhances safety by dynamically accounting for the user's physical well-being in risk calculations, particularly in applications like wearable devices, health monitoring systems, or industrial safety platforms. The system may further adapt its risk assessment algorithms based on historical fitness trends or real-time data to improve accuracy and responsiveness.
13. The computer system of claim 8 , wherein a factor of the potential risk of damage is one or more physical characteristics of the mobile device.
A computer system monitors and assesses the potential risk of damage to a mobile device by analyzing one or more physical characteristics of the device. The system collects data on factors such as the device's orientation, movement patterns, environmental conditions, and structural integrity to determine the likelihood of damage. By continuously evaluating these physical characteristics, the system can predict and mitigate risks, such as drops, impacts, or exposure to extreme temperatures. The system may also integrate historical usage data and real-time sensor inputs to refine risk assessments. Additionally, the system can generate alerts or trigger protective measures, such as activating a shock-absorbing mechanism or adjusting device settings to reduce damage susceptibility. The goal is to enhance device durability and user safety by proactively identifying and addressing potential damage scenarios based on the device's physical state and environmental interactions.
14. The computer system of claim 8 , wherein an intensity of the alert is based on the potential risk of damage.
The invention relates to a computer system for monitoring and managing potential risks of damage in industrial or operational environments. The system detects anomalies or deviations in operational parameters that may indicate a risk of damage to equipment, infrastructure, or personnel. The system assesses the severity of the detected risk and generates an alert to notify relevant personnel. The alert's intensity is dynamically adjusted based on the assessed potential risk of damage, ensuring that higher-risk situations receive more urgent attention. The system may also include mechanisms for logging detected risks, analyzing historical data to improve risk assessment accuracy, and integrating with other monitoring or control systems to mitigate identified risks. The invention aims to enhance safety, reduce downtime, and prevent costly damage by providing timely and prioritized alerts based on real-time risk analysis.
15. A computer program product for operating one or more devices to prevent potential mobile device damage, the computer program product comprising: one or more non-transitory computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor to cause the processor to perform a method comprising: determining whether a mobile device is on a person of a user; operating a device to alert a user based on a risk of damage of the mobile device exceeding a threshold, wherein the threshold is based on historical trends for the mobile device and one or more risk factors, and wherein the potential risk of damage is based on a plurality of factors comprising the determining, historical data, and a location or movement of the mobile device relative to the one or more risk factors within a venue, and wherein the risk factors are dynamically updated based on changing conditions.
This invention relates to a computer program product designed to prevent potential damage to mobile devices by monitoring and assessing risk factors in real-time. The system determines whether a mobile device is being carried by a user and evaluates the risk of damage based on multiple factors, including historical data, the device's location or movement within a venue, and dynamically updated risk factors. If the risk exceeds a predefined threshold—determined from historical trends and the identified risk factors—the system triggers an alert to the user. The risk factors are continuously adjusted based on changing conditions, ensuring the assessment remains accurate. The solution aims to proactively mitigate damage by leveraging real-time data and adaptive risk modeling, providing timely warnings to users when their device is at risk. The program instructions are stored on a non-transitory computer-readable medium and executed by a processor to perform these functions. This approach enhances device safety by integrating contextual awareness and predictive analytics to assess and respond to potential hazards dynamically.
16. The computer program product of claim 15 , further comprising: responsive to a user action status and the potential risk of damage, operating one or more devices to perform one or more precautionary actions.
This invention relates to a computer program product for managing risk in automated systems, particularly in environments where user actions may pose a risk of damage to equipment or personnel. The system monitors user actions and assesses potential risks in real-time, then triggers precautionary measures to mitigate those risks. The program evaluates user behavior, such as movement patterns or input commands, against predefined risk criteria to determine if an action could lead to damage. If a high-risk scenario is detected, the system automatically activates safety protocols, such as halting operations, adjusting device settings, or issuing alerts. The invention also includes a feedback mechanism to refine risk assessments over time based on historical data. The goal is to enhance safety in automated environments by proactively preventing accidents or equipment failures caused by user errors or unintended actions. The system integrates with various devices, including industrial machinery, robotic systems, or smart home appliances, to ensure seamless risk management across different applications. By combining real-time monitoring with automated responses, the invention reduces the need for constant human supervision while improving overall system reliability.
17. The computer program product of claim 16 , wherein the one or more precautionary actions comprise one or more actions selected from a list consisting of: copying data from the mobile device, increasing an intensity of the alert, alerting a second user, operating one or more additional devices to produce the alert, shutting down the mobile device, and shutting down one or more devices that affect the potential risk of damage.
This invention relates to a computer program product for enhancing safety in mobile device operations by implementing precautionary actions to mitigate potential risks of damage. The system monitors a mobile device for conditions that may lead to damage, such as overheating, physical impact, or unauthorized access. When such conditions are detected, the program triggers one or more precautionary actions to prevent or reduce the risk of harm. These actions include copying critical data from the mobile device to a secure location, increasing the intensity of alerts to ensure user awareness, notifying a second user (e.g., a supervisor or emergency contact) about the risk, activating additional devices to amplify the alert (e.g., external speakers or lights), shutting down the mobile device to prevent further damage, or deactivating other devices that could exacerbate the risk. The system dynamically selects the appropriate actions based on the severity and type of detected risk, ensuring a proactive response to potential hazards. This approach improves safety by automating protective measures and reducing reliance on manual intervention.
18. The computer program product of claim 15 , wherein determining whether the mobile device is on the person of the user is based on a location of the mobile device relative to a second mobile device.
A system determines whether a mobile device is being carried by a user by analyzing its location relative to a second mobile device. The primary mobile device and the second mobile device are both associated with the same user, and their relative positions are monitored to assess proximity. If the primary mobile device remains within a predefined distance of the second mobile device for a sustained period, the system concludes that the primary device is likely on the user's person. This determination is used to trigger security or functionality adjustments, such as enabling or disabling features based on the device's proximity to the user. The system may also account for additional factors, such as movement patterns or sensor data, to improve accuracy. The method ensures that the primary device is actively carried by the user, reducing false positives from stationary or unattended devices. This approach enhances security and user experience by dynamically adapting device behavior based on real-time proximity analysis.
19. The computer program product of claim 15 , wherein a factor of the potential risk of damage is a plurality of fitness information of a user.
A system and method for assessing potential damage risk in a computing environment, particularly in scenarios involving user interactions with hardware or software components. The invention addresses the challenge of accurately predicting and mitigating risks associated with user actions that could lead to system damage, such as hardware malfunctions, data corruption, or security breaches. The system collects and analyzes multiple factors to determine the likelihood of damage, including user behavior patterns, system performance metrics, and environmental conditions. One key factor in this assessment is the user's fitness information, which may include physical or cognitive state data relevant to their ability to safely interact with the system. For example, if a user exhibits signs of fatigue or reduced alertness, the system may adjust its risk assessment accordingly, potentially triggering warnings or restrictions to prevent accidental damage. The system dynamically updates risk calculations based on real-time data, allowing for proactive measures to be taken before damage occurs. This approach enhances system reliability and user safety by integrating user-specific data into risk management processes.
20. The computer program product of claim 15 , wherein a factor of the potential risk of damage is one or more physical characteristics of the mobile device.
A system and method for assessing and mitigating potential damage to a mobile device during operation involves analyzing various factors to determine risk levels and implementing protective measures. The invention addresses the problem of unintended damage to mobile devices due to environmental conditions, usage patterns, or hardware vulnerabilities, which can lead to performance degradation, data loss, or hardware failure. The system collects data from multiple sources, including device sensors, user behavior, and external environmental conditions, to evaluate the likelihood of damage. Physical characteristics of the mobile device, such as temperature thresholds, battery health, or structural integrity, are used as key indicators in the risk assessment. Based on the analysis, the system triggers automated responses, such as adjusting performance settings, restricting certain functions, or alerting the user to take corrective action. The goal is to proactively prevent damage by dynamically adapting to real-time conditions and historical data. The invention may also integrate with cloud-based services for additional processing and predictive modeling. By continuously monitoring and responding to potential risks, the system enhances device longevity and reliability.
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March 7, 2019
February 1, 2022
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